Enhanced crow search algorithm with multi-stage search integration for global optimization problems [0.03%]
基于多阶段搜索的Crow Search算法及其全局优化性能研究
Jieguang He,Zhiping Peng,Lei Zhang et al.
Jieguang He et al.
Crow search algorithm (CSA), as a new swarm intelligence algorithm that simulates the crows' behaviors of hiding and tracking food in nature, performs well in solving many optimization problems. However, while handling complex and high-dime...
A comprehensive review of analyzing the chest X-ray images to detect COVID-19 infections using deep learning techniques [0.03%]
基于深度学习的分析胸部X光片检测COVID-19感染的研究进展综述
Kavitha Subramaniam,Natesan Palanisamy,Renugadevi Ammapalayam Sinnaswamy et al.
Kavitha Subramaniam et al.
COVID-19, a highly infectious respiratory disease a used by SARS virus, has killed millions of people across many countries. To enhance quick and accurate diagnosis of COVID-19, chest X-ray (CXR) imaging methods were commonly utilized. Iden...
Utilizing variable auto encoder-based TDO optimization algorithm for predicting loneliness from electrocardiogram signals [0.03%]
基于变量自动编码器的TDO优化算法从心电图信号中预测孤独感
R Bharathi Vidhya,S Jerritta
R Bharathi Vidhya
Several seniors and a substantial part of the general population are living in social isolation. This frequently occurs in vulnerability, isolation, and depression, which then have a poor impact on other health-related factors. A number of ...
Economic simulation of sports industry based on deep learning algorithm and data mining [0.03%]
基于深度学习算法和数据挖掘的体育产业经济仿真模型研究
Zou Yuhao,Zhou Tian
Zou Yuhao
In recent years, the research on the domestic and international sports industry has made considerable achievements, but there are still some loopholes in the content, that is, there is still a vacancy in the comprehensive quantitative evalu...
Ensemble recurrent neural network with whale optimization algorithm-based DNA sequence classification for medical applications [0.03%]
基于鲸鱼优化算法的DNA序列分类医学应用中的集成循环神经网络
Abdulaziz Alshammari
Abdulaziz Alshammari
The modern data-driven era has facilitated the gathering of large quantities of biomedical and clinical data. The deoxyribonucleic acid gene expression datasets have become a vital focus for the research community because of their capabilit...
Integrated multi-criteria group decision-making methods based on q-rung picture fuzzy sets for the identification of occupational hazards [0.03%]
基于q-轮图片模糊集的综合多准则群体决策方法在职业危害识别中的应用
Uzma Ahmad,Ayesha Khan,Arsham Borumand Saeid
Uzma Ahmad
Practical group decision-making (DM) problems frequently involve challenging circumstances when attempting to assign appropriate values to the data because of the haziness and uncertainty of the surrounding circumstances. In order to addres...
Social media analytics and their applications to evaluate an activity in online health interventions using CRITIC and TOPSIS techniques [0.03%]
社交媒体分析及其在在线健康干预活动中应用的CRITIC和TOPSIS方法评估研究
Yushan Lin,Yasser Alshehri,Noha Alnazzawi et al.
Yushan Lin et al.
The usage of social media is increasing by leaps and bounds in our day-to-day lives. It affects daily routines and brings a lot of change in different departments like health and education systems during the COVID-19 pandemic. Healthcare re...
Locating the propagation source in complex networks with observers-based similarity measures and direction-induced search [0.03%]
基于观测者的相似性测度和传播方向指引的网络信息传播源头定位方法研究
Fan Yang,Chungui Li,Yong Peng et al.
Fan Yang et al.
Locating the propagation source is one of the most important strategies to control the harmful diffusion process on complex networks. Most existing methods only consider the infection time information of the observers, but the diffusion dir...
DLMBHCO: design of an augmented bioinspired deep learning-based multidomain body parameter analysis via heterogeneous correlative body organ analysis [0.03%]
一种基于异构相关器官分析的多域生物参数增强仿生深度学习设计（DLMBHCO）
Samir N Ajani,Rais Allauddin Mulla,Suresh Limkar et al.
Samir N Ajani et al.
Progressive organ-level disorders in the human body are often correlated with diseases in other body parts. For instance, liver diseases can be linked with heart issues, while cancers can be linked with brain diseases (or psychological cond...
Min Xu,Qixian Song,Mingyang Xi et al.
Min Xu et al.
Feature selection, widely used in data preprocessing, is a challenging problem as it involves hard combinatorial optimization. So far some meta-heuristic algorithms have shown effectiveness in solving hard combinatorial optimization problem...